unlearn_cifar10_resnet-50_bad_teaching_2_87 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_cifar10_resnet-50_bad_teaching_2_87

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image-classification

generated_from_trainer

microsoft/resnet-50

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This model is a fine-tuned version of microsoft/resnet-50 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.2967
Accuracy: 0.9416
Dt Accuracy: 0.9416
Df Accuracy: 0.956
Unlearn Overall Accuracy: 0.2509
Unlearn Time: None

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 87
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	16	0.1276	0.981	0.2126	0.2126	None
No log	2.0	32	0.1524	0.978	0.2173	0.2173	None
No log	3.0	48	0.1731	0.974	0.2235	0.2235	None
No log	4.0	64	0.2054	0.969	0.2313	0.2313	None
No log	5.0	80	0.2144	0.969	0.2312	0.2312	None
No log	6.0	96	0.2425	0.966	0.2358	0.2358	None
No log	7.0	112	0.2626	0.962	0.2419	0.2419	None
No log	8.0	128	0.2643	0.963	0.2403	0.2403	None
No log	9.0	144	0.2703	0.958	0.2480	0.2480	None
No log	10.0	160	0.2967	0.956	0.2509	0.2509	None

Framework versions

Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2